Search Results for author: Samuel Grieggs

Found 3 papers, 1 papers with code

Human Activity Recognition in an Open World

no code implementations23 Dec 2022 Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer

Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization outside of prior seen samples.

Human Activity Recognition

Handwriting Recognition with Novelty

1 code implementation13 May 2021 Derek S. Prijatelj, Samuel Grieggs, Futoshi Yumoto, Eric Robertson, Walter J. Scheirer

This paper introduces an agent-centric approach to handle novelty in the visual recognition domain of handwriting recognition (HWR).

Handwriting Recognition

Measuring Human Perception to Improve Handwritten Document Transcription

no code implementations7 Apr 2019 Samuel Grieggs, Bingyu Shen, Greta Rauch, Pei Li, Jiaqi Ma, David Chiang, Brian Price, Walter J. Scheirer

The subtleties of human perception, as measured by vision scientists through the use of psychophysics, are important clues to the internal workings of visual recognition.

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